Datasets:
File size: 1,654 Bytes
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dataset_info:
features:
- name: data_id
dtype: string
- name: image_id
dtype: string
- name: image
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: answer_eval
dtype: string
- name: entity_id
dtype: string
- name: entity_text
dtype: string
- name: attribute
dtype: string
license: apache-2.0
task_categories:
- visual-question-answering
- information-retrieval
tags:
- vision-self-play
- multimodal
- knowledge-intensive
---
# OVEN (Vision Self-Play format)
Open-domain Visual Entity Recognition (OVEN), converted to unified Parquet schema.
> Hu et al., Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023.
## Schema
| Field | Type | Description |
|-------|------|-------------|
| data_id | string | Unique sample ID |
| image_id | string | Image identifier |
| image | string | Image path/URL (empty, resolve at training time) |
| question | string | Question text |
| answer | string (JSON list) | Standard answers |
| answer_eval | string (JSON list) | Acceptable answer variants |
| entity_id | string | Wikidata QID |
| entity_text | string | Entity name |
| attribute | string | Attribute type |
## Splits
| Split | Rows | Size |
|-------|------|------|
| test | 729,259 | 1.8 MB |
| train | 4,958,569 | 9.6 MB |
| val | 129,490 | 0.6 MB |
| **Total** | **5,817,318** | |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("reonokiy/vsp-oven")
# 或加载特定 split
train = load_dataset("reonokiy/vsp-oven", split="train")
```
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